Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-large-khmer-finetuned – AI Model by Tnaot | AlphaNeural AI
You can deploy this model and start earning money today!
Tnaot
/
whisper-large-khmer-finetuned
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
unsloth
generated_from_trainer
unsloth/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-large-khmer-finetuned
This model is a fine-tuned version of
unsloth/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9727
Wer: 100.0
Ter: 10000.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-06
train_batch_size: 4
eval_batch_size: 4
seed: 3407
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
